Decision Tree Classification Explained | Python Machine Learning Tutorial for Beginners

Описание: 📌 Python for Machine Learning: Complete Beginner’s Course | Step-by-Step Tutorial

Master Python for Machine Learning with this complete, beginner-friendly course! Whether you’re just starting in AI or data science, this step-by-step tutorial will guide you through all the essential concepts, tools, and practical coding examples to kickstart your journey.

In this video, you’ll learn:
✅ Python fundamentals for ML
✅ Numpy, Pandas & data manipulation
✅ Data visualization with Matplotlib & Seaborn
✅ Supervised learning: Regression & Classification
✅ Unsupervised learning: Clustering & Dimensionality Reduction
✅ Building ML models from scratch
✅ Using Scikit-Learn & real datasets
✅ Best practices & tips for beginners

Perfect for:
✔ Students learning AI/ML
✔ Aspiring Data Scientists
✔ Programmers transitioning into Machine Learning
✔ Anyone who wants hands-on Python ML projects


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🔥 Tools & Libraries Covered:

Python 3.x

Jupyter Notebook

Numpy, Pandas

Matplotlib, Seaborn

Scikit-Learn



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💬 Have questions or stuck on a concept? Drop a comment — I reply to all!

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